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Data Science with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Guwahati Certified Data Scientist with hands-on experience in machine learning, predictive modeling, and data analysis. Skilled in Python, SQL, and Power BI, with a proven ability to build end-to-end ML pipelines and deliver actionable business insights.
Vignan's Institute of Information Technology
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
Infoz IT Solutions
Data Science Intern
January 1, 2026 – March 1, 2026
Hyderābād, Telangana, India
Averixis Solutions
Sales & Training Lead
December 1, 2024 – December 1, 2025
Bengaluru, Karnataka, India
Teachnook
Business Development Intern
May 1, 2024 – September 1, 2024
Bengaluru, Karnataka, India
Consumer Purchase Behavior Predictive Model
June 1, 2026 – Present
• Built regression and clustering models to predict customer purchase behavior • Segmented users for targeted marketing recommendations • Developed UI dashboard for stakeholder insights
Data Center Infrastructure Dashboard
June 1, 2026 – Present
• Reduced diagnostic time by 30% by building a real-time dashboard • Designed Star Schema handling 1M+ rows with <2 sec latency
Spotify Hit Prediction
June 1, 2026 – Present
• Performed data cleaning and exploratory data analysis (EDA) • Achieved 85% accuracy by optimizing features • Reduced false positives by 12%
Comprehensive Attendance System Web App
June 1, 2026 – Present
• Built automated attendance system using facial recognition • Integrated real-time tracking with Streamlit dashboard
Post Graduation certification in Data Science
E&ICT Academy, IIT Guwahati
June 1, 2026 – Present
IBM Data Science Certification
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science skills across different domains (consumer behavior, infrastructure, attendance systems, music prediction). The blend of technical internships and business development roles indicates adaptability and a willingness to engage in various aspects of a business. However, the experience is primarily academic and internship-based, with limited exposure to a full-time, long-term data science role, which might require a period of adjustment to a corporate data science culture.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving abilities, leadership experience, and client communication skills through project descriptions and past roles. The experience as a 'Sales & Training Lead' and 'Business Development Intern' suggests strong interpersonal and stakeholder management capabilities, which are valuable for operational fit in a data science role requiring collaboration and insight delivery.